Immigrants from Eastern Africa vs Hmong Community Comparison

COMPARE

Immigrants from Eastern Africa
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIndian (Asian)IndonesianInupiatIranianIraqiIrishIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Hmong
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Immigrants from Eastern Africa

Hmong

Average
Average
5,686
SOCIAL INDEX
54.4/ 100
SOCIAL RATING
171st/ 347
SOCIAL RANK
4,737
SOCIAL INDEX
44.9/ 100
SOCIAL RATING
196th/ 347
SOCIAL RANK

Hmong Integration in Immigrants from Eastern Africa Communities

The statistical analysis conducted on geographies consisting of 24,043,344 people shows a mild positive correlation between the proportion of Hmong within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.365. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is an increase of 0.042% in Hmong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to an increase of 42.3 Hmong.
Immigrants from Eastern Africa Integration in Hmong Communities

Immigrants from Eastern Africa vs Hmong Income

When considering income, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in wage/income gap (22.8% compared to 27.7%, a difference of 21.3%), per capita income ($43,838 compared to $38,120, a difference of 15.0%), and median female earnings ($40,644 compared to $35,498, a difference of 14.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,158 compared to $49,364, a difference of 3.6%), householder income ages 25 - 44 years ($91,458 compared to $84,258, a difference of 8.6%), and householder income over 65 years ($61,157 compared to $56,339, a difference of 8.6%).
Immigrants from Eastern Africa vs Hmong Income
Income MetricImmigrants from Eastern AfricaHmong
Per Capita Income
Average
$43,838
Tragic
$38,120
Median Family Income
Average
$102,451
Tragic
$91,296
Median Household Income
Fair
$84,299
Tragic
$75,839
Median Earnings
Good
$46,969
Tragic
$42,111
Median Male Earnings
Fair
$53,713
Tragic
$48,254
Median Female Earnings
Excellent
$40,644
Tragic
$35,498
Householder Age | Under 25 years
Tragic
$51,158
Tragic
$49,364
Householder Age | 25 - 44 years
Poor
$91,458
Tragic
$84,258
Householder Age | 45 - 64 years
Fair
$98,467
Tragic
$88,115
Householder Age | Over 65 years
Average
$61,157
Tragic
$56,339
Wage/Income Gap
Exceptional
22.8%
Tragic
27.7%

Immigrants from Eastern Africa vs Hmong Poverty

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in single male poverty (12.3% compared to 14.2%, a difference of 15.4%), single father poverty (14.7% compared to 15.9%, a difference of 7.9%), and single female poverty (21.6% compared to 23.1%, a difference of 7.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.1% compared to 12.0%, a difference of 0.92%), child poverty among girls under 16 (17.7% compared to 17.5%, a difference of 1.5%), and poverty (13.1% compared to 12.8%, a difference of 2.0%).
Immigrants from Eastern Africa vs Hmong Poverty
Poverty MetricImmigrants from Eastern AfricaHmong
Poverty
Tragic
13.1%
Poor
12.8%
Families
Poor
9.5%
Average
9.1%
Males
Tragic
12.0%
Poor
11.6%
Females
Tragic
14.2%
Fair
13.9%
Females 18 to 24 years
Tragic
21.4%
Average
20.0%
Females 25 to 34 years
Average
13.6%
Fair
13.9%
Children Under 5 years
Poor
18.1%
Tragic
18.5%
Children Under 16 years
Tragic
17.6%
Poor
17.1%
Boys Under 16 years
Tragic
17.7%
Fair
16.6%
Girls Under 16 years
Tragic
17.7%
Poor
17.5%
Single Males
Exceptional
12.3%
Tragic
14.2%
Single Females
Poor
21.6%
Tragic
23.1%
Single Fathers
Exceptional
14.7%
Exceptional
15.9%
Single Mothers
Fair
29.3%
Tragic
31.2%
Married Couples
Average
5.2%
Excellent
5.0%
Seniors Over 65 years
Average
11.0%
Exceptional
10.4%
Seniors Over 75 years
Good
12.1%
Good
12.0%
Receiving Food Stamps
Average
11.6%
Excellent
10.9%

Immigrants from Eastern Africa vs Hmong Unemployment

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in unemployment among seniors over 75 years (8.7% compared to 13.7%, a difference of 57.7%), unemployment among ages 55 to 59 years (4.5% compared to 5.7%, a difference of 27.8%), and unemployment among women with children under 18 years (5.4% compared to 4.5%, a difference of 21.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.5% compared to 9.4%, a difference of 1.7%), unemployment among women with children ages 6 to 17 years (8.9% compared to 8.7%, a difference of 2.0%), and unemployment among youth under 25 years (11.1% compared to 10.8%, a difference of 2.3%).
Immigrants from Eastern Africa vs Hmong Unemployment
Unemployment MetricImmigrants from Eastern AfricaHmong
Unemployment
Excellent
5.1%
Exceptional
5.0%
Males
Good
5.2%
Tragic
5.5%
Females
Exceptional
5.1%
Exceptional
4.4%
Youth < 25
Exceptional
11.1%
Exceptional
10.8%
Age | 16 to 19 years
Exceptional
16.8%
Exceptional
16.3%
Age | 20 to 24 years
Exceptional
9.5%
Exceptional
9.4%
Age | 25 to 29 years
Exceptional
6.0%
Exceptional
5.7%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
4.9%
Age | 35 to 44 years
Good
4.6%
Tragic
5.0%
Age | 45 to 54 years
Excellent
4.4%
Exceptional
3.7%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.7%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.0%
Age | 65 to 74 years
Exceptional
5.0%
Exceptional
4.2%
Seniors > 65
Exceptional
4.9%
Exceptional
4.2%
Seniors > 75
Average
8.7%
Tragic
13.7%
Women w/ Children < 6
Exceptional
7.2%
Exceptional
6.7%
Women w/ Children 6 to 17
Good
8.9%
Exceptional
8.7%
Women w/ Children < 18
Average
5.4%
Exceptional
4.5%

Immigrants from Eastern Africa vs Hmong Labor Participation

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in in labor force | age > 16 (68.5% compared to 64.1%, a difference of 6.9%), in labor force | age 20-64 (81.3% compared to 77.9%, a difference of 4.4%), and in labor force | age 30-34 (85.9% compared to 82.4%, a difference of 4.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.5% compared to 76.5%, a difference of 1.3%), in labor force | age 25-29 (86.0% compared to 83.7%, a difference of 2.7%), and in labor force | age 45-54 (83.9% compared to 81.7%, a difference of 2.7%).
Immigrants from Eastern Africa vs Hmong Labor Participation
Labor Participation MetricImmigrants from Eastern AfricaHmong
In Labor Force | Age > 16
Exceptional
68.5%
Tragic
64.1%
In Labor Force | Age 20-64
Exceptional
81.3%
Tragic
77.9%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
77.5%
Exceptional
76.5%
In Labor Force | Age 25-29
Exceptional
86.0%
Tragic
83.7%
In Labor Force | Age 30-34
Exceptional
85.9%
Tragic
82.4%
In Labor Force | Age 35-44
Exceptional
85.4%
Tragic
82.6%
In Labor Force | Age 45-54
Exceptional
83.9%
Tragic
81.7%

Immigrants from Eastern Africa vs Hmong Family Structure

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in births to unmarried women (31.0% compared to 27.7%, a difference of 11.6%), married-couple households (42.9% compared to 47.0%, a difference of 9.3%), and single mother households (6.8% compared to 6.4%, a difference of 7.2%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.21, a difference of 0.23%), divorced or separated (12.2% compared to 12.3%, a difference of 0.59%), and single father households (2.4% compared to 2.4%, a difference of 2.3%).
Immigrants from Eastern Africa vs Hmong Family Structure
Family Structure MetricImmigrants from Eastern AfricaHmong
Family Households
Tragic
61.1%
Exceptional
64.9%
Family Households with Children
Excellent
27.7%
Exceptional
28.6%
Married-couple Households
Tragic
42.9%
Good
47.0%
Average Family Size
Fair
3.22
Fair
3.21
Single Father Households
Poor
2.4%
Fair
2.4%
Single Mother Households
Tragic
6.8%
Fair
6.4%
Currently Married
Tragic
44.2%
Good
47.1%
Divorced or Separated
Poor
12.2%
Tragic
12.3%
Births to Unmarried Women
Good
31.0%
Exceptional
27.7%

Immigrants from Eastern Africa vs Hmong Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 7.0%, a difference of 21.8%), 3 or more vehicles in household (18.0% compared to 21.0%, a difference of 16.5%), and 2 or more vehicles in household (53.7% compared to 57.8%, a difference of 7.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 89.6%, a difference of 0.56%), no vehicles in household (10.0% compared to 10.4%, a difference of 3.3%), and 2 or more vehicles in household (53.7% compared to 57.8%, a difference of 7.6%).
Immigrants from Eastern Africa vs Hmong Vehicle Availability
Vehicle Availability MetricImmigrants from Eastern AfricaHmong
No Vehicles Available
Good
10.0%
Average
10.4%
1+ Vehicles Available
Good
90.1%
Average
89.6%
2+ Vehicles Available
Tragic
53.7%
Exceptional
57.8%
3+ Vehicles Available
Tragic
18.0%
Exceptional
21.0%
4+ Vehicles Available
Tragic
5.7%
Exceptional
7.0%

Immigrants from Eastern Africa vs Hmong Education Level

When considering education level, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in doctorate degree (2.1% compared to 1.6%, a difference of 34.3%), professional degree (4.8% compared to 3.7%, a difference of 28.4%), and no schooling completed (2.4% compared to 1.9%, a difference of 24.3%). Conversely, both communities are more comparable in terms of high school diploma (88.9% compared to 89.1%, a difference of 0.22%), 12th grade, no diploma (90.9% compared to 91.3%, a difference of 0.40%), and nursery school (97.6% compared to 98.1%, a difference of 0.44%).
Immigrants from Eastern Africa vs Hmong Education Level
Education Level MetricImmigrants from Eastern AfricaHmong
No Schooling Completed
Tragic
2.4%
Excellent
1.9%
Nursery School
Tragic
97.6%
Good
98.1%
Kindergarten
Tragic
97.6%
Good
98.1%
1st Grade
Tragic
97.6%
Good
98.0%
2nd Grade
Tragic
97.5%
Good
98.0%
3rd Grade
Tragic
97.4%
Excellent
97.9%
4th Grade
Tragic
97.1%
Excellent
97.7%
5th Grade
Tragic
96.9%
Exceptional
97.6%
6th Grade
Tragic
96.6%
Exceptional
97.4%
7th Grade
Tragic
95.6%
Exceptional
96.4%
8th Grade
Tragic
95.3%
Excellent
96.1%
9th Grade
Tragic
94.5%
Excellent
95.2%
10th Grade
Poor
93.4%
Excellent
94.1%
11th Grade
Fair
92.3%
Good
92.8%
12th Grade, No Diploma
Fair
90.9%
Average
91.3%
High School Diploma
Fair
88.9%
Average
89.1%
GED/Equivalency
Average
85.7%
Poor
84.9%
College, Under 1 year
Excellent
67.0%
Tragic
63.5%
College, 1 year or more
Exceptional
61.2%
Tragic
57.2%
Associate's Degree
Exceptional
48.4%
Tragic
43.4%
Bachelor's Degree
Exceptional
40.4%
Tragic
34.8%
Master's Degree
Exceptional
16.3%
Tragic
13.4%
Professional Degree
Exceptional
4.8%
Tragic
3.7%
Doctorate Degree
Exceptional
2.1%
Tragic
1.6%

Immigrants from Eastern Africa vs Hmong Disability

When considering disability, the most significant differences between Immigrants from Eastern Africa and Hmong communities in the United States are seen in hearing disability (2.8% compared to 3.4%, a difference of 23.0%), disability age 18 to 34 (6.7% compared to 8.1%, a difference of 20.6%), and ambulatory disability (5.6% compared to 6.6%, a difference of 17.5%). Conversely, both communities are more comparable in terms of cognitive disability (18.4% compared to 18.4%, a difference of 0.40%), disability age over 75 (47.2% compared to 48.2%, a difference of 2.2%), and self-care disability (2.3% compared to 2.4%, a difference of 5.6%).
Immigrants from Eastern Africa vs Hmong Disability
Disability MetricImmigrants from Eastern AfricaHmong
Disability
Exceptional
11.3%
Tragic
12.8%
Males
Exceptional
10.8%
Tragic
12.5%
Females
Exceptional
11.7%
Tragic
13.1%
Age | Under 5 years
Excellent
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Fair
5.7%
Tragic
6.3%
Age | 18 to 34 years
Fair
6.7%
Tragic
8.1%
Age | 35 to 64 years
Average
11.3%
Tragic
13.1%
Age | 65 to 74 years
Average
23.4%
Tragic
25.7%
Age | Over 75 years
Good
47.2%
Tragic
48.2%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Exceptional
2.8%
Tragic
3.4%
Cognitive
Tragic
18.4%
Tragic
18.4%
Ambulatory
Exceptional
5.6%
Tragic
6.6%
Self-Care
Exceptional
2.3%
Excellent
2.4%